Functional magnetic resonance imaging (fMRI) neurofeedback is a type of biofeedback in which real-time online fMRI signals are used to self-regulate brain function. Since its advent in 2003 significant progress has been made in fMRI neurofeedback techniques. Specifically, the use of implicit protocols, external rewards, multivariate analysis, and connectivity analysis has allowed neuroscientists to explore a possible causal involvement of modified brain activity in modified behavior. These techniques have also been integrated into groundbreaking new neurofeedback technologies, specifically decoded neurofeedback (DecNef) and functional connectivity-based neurofeedback (FCNef). By modulating neural activity and behavior, DecNef and FCNef have substantially advanced both basic and clinical research.

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fMRI 实时神经反馈的进展

功能性磁共振成像 (fMRI) 神经反馈是一种生物反馈，其中实时在线 fMRI 信号用于自我调节大脑功能。自 2003 年问世以来，fMRI 神经反馈技术取得了重大进展。具体来说，隐性协议、外部奖励、多元分析和连通性分析的使用使神经科学家能够探索修改后的大脑活动与修改后的行为之间可能存在的因果关系。这些技术还被集成到突破性的新神经反馈技术中，特别是解码神经反馈 (DecNef) 和基于功能连接的神经反馈 (FCNef)。通过调节神经活动和行为，DecNef 和 FCNef 大大推进了基础和临床研究。